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03/26/2023
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
Learning-based methods to solve dense 3D vision problems typically train...
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05/09/2022
Is my Depth Ground-Truth Good Enough? HAMMER – Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression
Depth estimation is a core task in 3D computer vision. Recent methods in...
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03/30/2020
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
In this work, we study how well different type of approaches generalise ...
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03/27/2020
Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects
State-of-the-art methods for 6D object pose estimation typically train a...
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10/23/2019
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction
Current 6D object pose methods consist of deep CNN models fully optimize...
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01/03/2014
